Internship - Data Engineering/Science

Shega is pleased to announce an exciting opportunity for a motivated and enthusiastic individual to join us as a Data Engineering/Science Intern. This unpaid internship is crafted to provide hands-on experience in a dynamic and collaborative environment. As an intern at Shega, you will have the chance to work alongside experienced professionals, contribute to real projects, and enhance your skills in software development.

Role Overview:
The Data Engineering/Science Intern will support the team in collecting, processing, and analyzing data to drive actionable insights. This role offers hands-on experience in data engineering and science, working with real-world datasets and modern tools.

Key Responsibilities:

• Assist in designing and maintaining data pipelines for efficient data collection and processing.
• Clean, transform, and preprocess datasets to ensure data quality and usability.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Support the development of data models and visualizations to communicate findings.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Contribute to the documentation of processes, workflows, and technical reports.

Qualifications:

• Current enrollment in a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Engineering, or a related field.
• Basic knowledge of programming languages such as Python, R, or SQL.
• Familiarity with data processing tools (e.g., Pandas, NumPy) and databases (e.g., MySQL, PostgreSQL).
• Understanding of data visualization tools (e.g., Tableau, Power BI, or Matplotlib) is a plus.
• Strong analytical and problem-solving skills with attention to detail.
• Eagerness to learn and adapt in a fast-paced environment.
• Excellent communication and teamwork skills.

Preferred Skills (Optional):

• Experience with cloud platforms (e.g., Azure).
• Knowledge of big data frameworks (e.g., Databricks, Spark).
• Exposure to machine learning concepts or tools (e.g., scikit-learn, TensorFlow).

What We Offer:

• Hands-on experience with real-world data projects.
• Mentorship from experienced data professionals.
• Opportunity to work with cutting-edge tools and technologies.
• A collaborative and inclusive work environment.
• A chance to get full-time position after the internship period